- Scientific studies have shown that small businesses with simple technologies have room for good innovations, and I would very much like to emphasise this.
- Vetenskapliga studier har visat att småföretag med enkel teknik har utrymme för bra innovationer, och jag vill verkligen understryka detta.
- The amendments before us, which call for a review after two years, for the evaluation of new test methods and for scientific studies on the dangers of PVC products, are helpful in maximising health protection for us all in the long term, not just for small children.
- Liggande ändringsförslag, vilka kräver en revision inom två år, utvärdering av nya testmetoder och vetenskapliga studier kring risker med PVC-produkter, är till nytta för att på sikt nå en så hög hälsoskyddsnivå som möjligt för oss alla, och inte endast för små barn.
- Examples of these areas include the evaluation of information on recommended medication in the case of a health emergency, especially in pandemic situations, and the preparation and evaluation of scientific studies - independent of the pharmaceutical industry - of recommended target groups on the effectiveness, safety, and risk-benefit relationship of vaccines and antiviral medications.
- Hit hör att utvärdera information om läkemedel som rekommenderas vid hälsokriser, särskilt vid pandemier, och att oberoende av läkemedelsindustrin förbereda och utvärdera vetenskapliga studier med rekommenderade målgrupper av effektivitet, säkerhet och förhållandet mellan risk och nytta när det gäller vacciner och antivirala mediciner.
show query
SET search_path TO f9miniensv;
WITH
list AS (SELECT
t11.token_id AS t11,
t12.token_id AS t12,
t21.token_id AS t21,
t22.token_id AS t22,
r1.dep_id AS dep1,
r2.dep_id AS dep2
FROM
deprel r1
JOIN depstr s1 ON s1.dep_id = r1.dep_id
JOIN word_align a1 ON a1.wsource = r1.head AND a1.wsource < a1.wtarget
JOIN word_align a2 ON a2.wsource = r1.dependent
JOIN deprel r2 ON r2.head = a1.wtarget AND r2.dependent = a2.wtarget
JOIN depstr s2 ON s2.dep_id = r2.dep_id
JOIN token t11 ON t11.token_id = r1.head
JOIN token t21 ON t21.token_id = r2.head
JOIN token t12 ON t12.token_id = r1.dependent
JOIN token t22 ON t22.token_id = r2.dependent
WHERE
s1.val = 'amod' AND
s2.val = 'AT' AND
t11.ctag = 'NOUN' AND
t21.ctag = 'NOUN' AND
t12.ctag = 'ADJ' AND
t22.ctag = 'ADJ' AND
t11.lemma_id = 45969 AND
t12.lemma_id = 47757 AND
t21.lemma_id = 36977 AND
t22.lemma_id = 40683),
stats AS (SELECT
sentence_id,
count(DISTINCT token_id) AS c,
count(*) AS c_aligned,
count(DISTINCT wtarget) AS c_target
FROM
token
LEFT JOIN word_align ON wsource = token_id
WHERE
sentence_id IN (
SELECT sentence_id
FROM
list
JOIN token ON token_id IN(t11, t21)
)
GROUP BY sentence_id),
numbered AS (SELECT row_number() OVER () AS i, *
FROM
list),
sentences AS (SELECT *, .2 * (1 / (1 + exp(max(c) OVER (PARTITION BY i) - min(c) OVER (PARTITION BY i)))) +
.8 * (1 / log(avg(c) OVER (PARTITION BY i))) AS w
FROM
(
SELECT i, 1 AS n, sentence_id, ARRAY[t11,t12] AS tokens
FROM
numbered
JOIN token ON token_id = t11
UNION SELECT i, 2 AS n, sentence_id, ARRAY[t21,t22] AS tokens
FROM
numbered
JOIN token ON token_id = t21
) x
JOIN stats USING (sentence_id)
ORDER BY i, n)
SELECT
i,
n,
w,
c,
c_aligned,
c_target,
sentence_id,
string_agg(CASE WHEN lpad THEN ' ' ELSE '' END || '<span class="token' ||
CASE WHEN ARRAY[token_id] <@ tokens THEN ' hl' ELSE '' END || '">' || val || '</span>',
'' ORDER BY token_id ASC) AS s
FROM
sentences
JOIN token USING (sentence_id)
JOIN typestr USING (type_id)
GROUP BY i, n, w, c, c_aligned, c_target, sentence_id
ORDER BY w DESC, i, n;
;